Biomedical Data Science and Visualization

Catalog description

The learning objective of this class is to understand the core components of data science workflow and infrastructures for the ingestion, processing, storage and serving data generated by healthcare systems at an unprecedented speed and scale. The course is organized into the following modules: (1) Data architectures for large-scale data management, (2) Exploratory data analysis for knowledge discovery and (3) High dimensional data analysis. This is a lecture-based course that relies on both materials covered in class and out-of-class readings, including published literature. Students will be assigned weekly homework assignments that will include programming labs in Python. A final assessment will be conducted at the end of the course based on lectures, reading references and programming labs. Prereq: PQHS 413 .